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20182026
most citedA Comparative Study of Methods for Estimating Conditional Shapley Values and When to Use Them

22 citations · 42 across the 20 of their papers we have counts for

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Showing 2026Show all

5 papers · 1 filter

stat.ME2026

Scope-Restricted Backtracking Counterfactuals

Johan de Aguas, Martin Jullum

Interventional counterfactuals evaluate statements such as "had been " by replacing the assignment for while keeping the unit's exogenous background fixed. Backtracking…

cs.CL2026

FindMyText: Robust, Scalable Detection of Text Containment in Large Web-Crawled Corpora

Lars Henry Berge Olsen, Pierre Lison, Martin Jullum +1

We present FindMyText, an open-source Python package designed to efficiently assess whether a given text appears, in part or in full, within a text corpus. The tool builds on prior…

cs.LG2026

Beyond Defensive Reporting: Machine Learning for Active Anti-Money Laundering Control in Insurance

Dara Goldar, Geir Kjetil Ferkingstad Sandve, Martin Jullum

Money laundering through insurance claims poses a threat to insurers both through fraudulent payouts and reputational and regulatory risk. Despite this, little research has examine…

stat.ML2026

How important are the genes to explain the outcome - the asymmetric Shapley value as an honest importance metric for high-dimensional features

Mark A. van de Wiel, Jeroen Goedhart, Martin Jullum +1

In clinical prediction settings the importance of a high-dimensional feature like genomics is often assessed by evaluating the change in predictive performance when adding it to a…

stat.ME2026

Parametric or nonparametric: the FIC approach for stationary time series

Gudmund Hermansen, Nils Lid Hjort, Martin Jullum

We seek to narrow the gap between parametric and nonparametric modelling of stationary time series processes. The approach is inspired by recent advances in focused inference and m…